v0.4.9

CHANGELOG

@@ -1,3 +1,31 @@
+2023.08.23(v0.4.9)
+- env: add cliffwalking env (#677)
+- env: add lunarlander ppo config and example
+- algo: add BCQ offline RL algorithm (#640)
+- algo: add Dreamerv3 model-based RL algorithm (#652)
+- algo: add tensor stream merge network tools (#673)
+- algo: add scatter connection model (#680)
+- algo: refactor Decision Transformer in new pipeline and support img input and discrete output (#693)
+- algo: add three variants of Bilinear classes and a FiLM class (#703)
+- feature: polish offpolicy RL multi-gpu DDP training (#679)
+- feature: add middleware for Ape-X distributed pipeline (#696)
+- feature: add example for evaluating trained DQN (#706)
+- fix: to_ndarray fails to assign dtype for scalars (#708)
+- fix: evaluator return episode_info compatibility bug
+- fix: cql example entry wrong config bug
+- fix: enable_save_figure env interface
+- fix: redundant env info bug in evaluator
+- fix: to_item unittest bug
+- style: polish and simplify requirements (#672)
+- style: add Hugging Face Model Zoo badge (#674)
+- style: add openxlab Model Zoo badge (#675)
+- style: fix py37 macos ci bug and update default pytorch from 1.7.1 to 1.12.1 (#678)
+- style: fix mujoco-py compatibility issue for cython<3 (#711)
+- style: fix type spell error (#704)
+- style: fix pypi release actions ubuntu 18.04 bug
+- style: update contact information (e.g. wechat)
+- style: polish algorithm doc tables
+
 2023.05.25(v0.4.8)
 - env: fix gym hybrid reward dtype bug (#664)
 - env: fix atari env id noframeskip bug (#655)

README.md

@@ -35,7 +35,7 @@
 [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-yellow)](https://huggingface.co/OpenDILabCommunity)
 [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models?search=opendilab)
 
-Updated on 2023.05.25 DI-engine-v0.4.8
+Updated on 2023.08.23 DI-engine-v0.4.9
 
 
 ## Introduction to DI-engine
@@ -167,11 +167,6 @@ The detailed documentation are hosted on [doc](https://di-engine-docs.readthedoc
 
 [测试/部署 **强化学习策略** 的样例](https://github.com/opendilab/DI-engine/blob/main/dizoo/classic_control/cartpole/entry/cartpole_c51_deploy.py)
 
-**Bonus: Train RL agent in one line code:**
-
-```bash
-ding -m serial -e cartpole -p dqn -s 0
-```
 
 ## Feature
 ### Algorithm Versatility
@@ -438,7 +433,7 @@ DI-engine utilizes [TreeTensor](https://github.com/opendilab/DI-treetensor) as t
 - Discuss on DI-engine [slack communication channel](https://join.slack.com/t/opendilab/shared_invite/zt-v9tmv4fp-nUBAQEH1_Kuyu_q4plBssQ)
 - Discuss on DI-engine's WeChat group (i.e. add us on WeChat: ding314assist) 
 
-  ![WeChat](https://github.com/opendilab/DI-engine/blob/main/assets/wechat.jpeg){:height="50%" width="50%"}
+  <img src=https://github.com/opendilab/DI-engine/blob/main/assets/wechat.jpeg width=35% />
 - Contact our email (opendilab@pjlab.org.cn)
 - Contributes to our future plan [Roadmap](https://github.com/opendilab/DI-engine/issues/548)
 

conda/meta.yaml

@@ -1,7 +1,7 @@
 {% set data = load_setup_py_data() %}
 package:
   name: di-engine
-  version: v0.4.8
+  version: v0.4.9
 
 source:
   path: ..

ding/__init__.py

@@ -1,7 +1,7 @@
 import os
 
 __TITLE__ = 'DI-engine'
-__VERSION__ = 'v0.4.8'
+__VERSION__ = 'v0.4.9'
 __DESCRIPTION__ = 'Decision AI Engine'
 __AUTHOR__ = "OpenDILab Contributors"
 __AUTHOR_EMAIL__ = "[email protected]"